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Data Scientist - Remote
Remote / Online - Candidates ideally in
Minnetonka, Hennepin County, Minnesota, 55345, USA
Listed on 2026-10-15
Minnetonka, Hennepin County, Minnesota, 55345, USA
Listing for:
UnitedHealth Group
Remote/Work from Home
position Listed on 2026-10-15
Job specializations:
-
IT/Tech
Data Analyst
Job Description & How to Apply Below
Location:
Minnetonka, Minnesota, United States Salary: $72,800 - $130,000/year
Job Area:
Business & Data Analytics Company:
United Health Group At United Healthcare, we're simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and optimized. Ready to make a difference? Join us to start Caring.
Connecting. Growing together.
The Experience Analytics and Reporting (EAR) team is seeking an analytically driven Data Scientist to support Advocate & Desktop AI Augmentation as part of the enterprise Contact Center Transformation effort. This role is ideal for a hands-on data scientist who thrives in fast-paced, high-stakes environments and is passionate about improving the advocate and member experience through AI. The key focus of the role is to support reporting, analytics, and performance measurement for the workstream's suite of advocate-facing AI products, monitor and improve model performance, and identify opportunities to increase advocate efficiency and operational impact across UHC and Optum.
AI Reporting & Analytics Build and maintain performance, adoption, and impact reporting for advocate-facing AI products, including Automated Call Intent Labels, Auto Call Documentation (ACD), Context Summaries, Advocate Assist, Automated Form Filling, and AHT Breakout AIDevelop measurement approaches and KPIs that quantify advocate productivity, operational efficiency, and member experience impact
Deliver insights and root-cause analysis when AI tools underperform or coverage gaps emerge
Work across multiple data pipelines and cloud stacks (Azure and Google Cloud) to ensure data and pipeline integrity
Model Support & Optimization Provide ongoing algorithm maintenance and performance monitoring for the workstream's AI models
Identify opportunities to improve model accuracy, coverage, adoption, and business impact
Support model governance activities, including AI Review Board (AIRB) preparation, submission, and recurring approvals
Cross-Functional Collaboration Partner with the Senior Manager, Data Science, workstream owners, and solution development teams to prioritize enhancements and measure outcomes
Serve as a reporting and analytics resource for stakeholders
Translate technical findings into clear, actionable information for business and operations partners
Problem Solving & Issue Resolution Identify emerging risks, model degradation, or pipeline gaps and escalate or resolve proactively
Use data and model-level insights to diagnose root causes and recommend improvements
Support scalable improvements that advance model performance and operational consistency
Communication & Reporting Prepare dashboards, status reports, and summaries on model performance, adoption, and realized value
Ensure stakeholders are continuously informed on performance, risks, and opportunities
The Data Scientist partners closely with the Senior Manager, Data Science, workstream owners, solution developers, operations, and technology groups to translate AI capabilities into measurable operational and member-experience outcomes.
As a Data Scientist, you will own the reporting and analytics behind a growing portfolio of advocate-facing AI products, leveraging model-level fluency to identify root causes, improve existing models, and support the scaling of high-value solutions. Your work will directly influence advocate productivity, contact handling efficiency, and consumer experience across UHC and Optum.
The ideal candidate excels in managing ambiguity, communicates with clarity, and builds solid partnerships across…
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